Quantitative evaluation of breast density using a dual-energy technique on a digital breast tomosynthesis system

J Appl Clin Med Phys. 2019 Jun;20(6):170-177. doi: 10.1002/acm2.12618. Epub 2019 May 20.

Abstract

Purpose: Although breast density is considered a strong risk factor of breast cancer, its quantitative assessment is difficult. To investigate a quantitative method of measuring breast density using dual-energy mammographic imaging with central digital breast tomosynthesis in physically uniform and nonuniform phantoms.

Material and methods: The dual-energy imaging unit used a tungsten anode and silver filter with 30 kVp for high-energy images and 20 kVp for low-energy images. Uniform glandular-equivalent phantoms were used to calibrate a dual-energy based decomposition algorithm. The first study used uniform breast phantoms which ranged in thicknesses from 20 to 70 mm, in 10-mm increments, and which provided 30%, 50%, and 70% of breast density. The second study used uniform phantoms ranging from 10% to 90% of breast density. The third study used non-uniform phantoms (at an average density of 50%) with a thickness which ranged from 20 to 90 mm, in 10-mm increments.

Results: The root mean square error of breast density measurements was 2.64-3.34% for the uniform, variable thickness phantoms, 4.17% for the uniform, variable density phantoms, and 4.49% for the nonuniform, variable thickness phantoms.

Conclusion: The dual-energy technique could be used to measure breast density with a margin of error of < 10% using digital breast tomosynthesis.

Keywords: breast cancer; breast density; digital breast tomosynthesis; dual-energy.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms
  • Breast / pathology*
  • Breast Density*
  • Breast Neoplasms / diagnosis
  • Calibration
  • Computer Simulation
  • Female
  • Humans
  • Mammography / instrumentation*
  • Mammography / methods*
  • Models, Biological
  • Phantoms, Imaging*
  • Radiographic Image Enhancement / methods*
  • Radiographic Image Interpretation, Computer-Assisted / methods*